地球资源数据云——数据资源详情
呼叫中心队列模拟
该数据集《Call Centre Queue Simulation》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：One year of simulated calls at a call centre - data visualization exercise 任务类型：表格监督学习。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：simulated_call_centre.csv。 Call Centre Queue Simulation A simulated call centre dataset and notebook, designed to be used as a classroom / tutorial dataset for Business and Operations Analytics. This notebook details the creation of simulated call centre logs over the course of one year. For this dataset we are imagining a business whose lines are open from 8:00am to 6:00pm, Monday to Friday. Four agents are on duty at any given time and each call takes an average of 5 minutes to resolve. The call centre manager is required to meet a performance target: 90% of calls must be answered within 1 minute. Lately, the performance has slipped. As the data analytics expert, you have been brought in to analyze their performance and make recommendations to return the centre back to its target. The dataset records timestamps for when a call was placed, when it was answered, and when the call was completed. The total waiting and service times are calculated, as well as a logical for whether the call was answered within the performance standard. Discrete - Event Simulation
摘要概览
该数据集《Call Centre Queue Simulation》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：One year of simulated calls at a call centre - data visualization exercise
任务类型：表格监督学习。
建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：simulated_call_centre.csv。
Call Centre Queue Simulation A simulated call centre dataset and notebook, designed to be used as a classroom / tutorial dataset for Business and Operations Analytics.
This notebook details the creation of simulated call centre logs over the course of one year. For this dataset we are imagining a business whose lines are open from 8:00am to 6:00pm, Monday to Friday. Four agents are on duty at any given time and each call takes an average of 5 minutes to resolve.
The call centre manager is required to meet a performance target: 90% of calls must be answered within 1 minute. Lately, the performance has slipped. As the data analytics expert, you have been brought in to analyze their performance and make recommendations to return the centre back to its target.
The dataset records timestamps for when a call was placed, when it was answered, and when the call was completed. The total waiting and service times are calculated, as well as a logical for whether the call was answered within the performance standard.
Discrete - Event Simulation